Abstract

In the last few years many research efforts have been focused on various wireless measurement techniques for indoor object positioning. In this paper we focuses on the performance improvement of the classical wireless ranging techniques such as RSS approach and ToF approach. The novalty of the proposed method is a data fusion algorithm which combines the data obtained through the RSS approach and ToF approach with the aid of a kalman filter. The advantage of this proposed algorithm is that it provides great improvement in wireless ranging. The algorithm has been implemented and simulated to check the performance of the proposed system. The result obtained shows that there is typical improvement in the ranging accuracy and the combination of these two classical approach can significantly reduce the measurement uncertainity

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